Status Crowd Source Ministry of Health and Family Welfare
Deceased 33 414
Hospitalized 12360 10477
Recovered 167 1489
Total 12561 12380

Crowd Sourced Data: https://www.covid19india.org/

Official Data: Ministry of Health and Family Welfare Data hosted on this repository https://github.com/Impactech/covid19_india_data

World Data: Repository hosted by Johns Hopkins CSSE https://github.com/CSSEGISandData/COVID-19

Last update at 2020-04-16 11:57:50

Different cross sections of COVID19 data

   

Progression

 

Statewise progression of the cumulative number of cases against the number of days since first report

Data: Crowd sourced

Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaTimeseriesAnimation.R

Pan India

 

Daily growth rate

The solid lines are smoothed conditional means, which indicated the overall trend. The dots and the soft lines represent actual data.

Growth rate is calculated as:

\[G_{current} = (Total_{previous}- Total_{current})/Total_{previous}\]

Daily Growth rate of COVID19 cases in India

Daily Growth rate of COVID19 cases in India

Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaGrowthRate_v2.R

 

Cumulative

Total number of COVID19 cases in India by Date

Total number of COVID19 cases in India by Date

Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaCumulativeCases_v2.R

Yesterday

 

Cases reported since yesterday (including today)

Data: Crowd sourced

Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaYesterday.R

 

Districtwise Split of recent cases for states with highest number of cases

Weekly

 

Since the daily growth rate can be noisy, it may be helpful to see the weekly mean of daily growth rate to identify the tapering.

The Weekly mean of daily growth rate is calculated as follows:

\[ G_{WeeklyMean} = NewCases_{CurrentWeek}*100/(Sunday_{Previous} - Sunday_{Latest})*Cumulative_{PreviousWeek} \]

Statewise

 

Statewise growth in cumulative number of cases.

Statewise Split

Statewise Split

Data: Crowd sourced

Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaTimeseries_v3.R

 

State wise split of cumulative number of cases as per last update.

Statewise Split

Statewise Split

Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaStateWise.R

Agewise

 

Agewise split of cases in India

Data available for 1506 cases

Code: https://github.com/Impactech/COVID19_India/blob/master/IndiaAgewise.R

World

 

Global Growth rate

 

Global Daily New Cases

 

Global Cumulative cases

This Dashboard is Hosted On this Repo

by Rahul Nayak

Impactech! The SmartLoo Platform’s Technology Wizards.